Pydantic-deepagents code-review
Systematic code review for bugs, security, style, and performance
install
source · Clone the upstream repo
git clone https://github.com/vstorm-co/pydantic-deepagents
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/vstorm-co/pydantic-deepagents "$T" && mkdir -p ~/.claude/skills && cp -r "$T/pydantic_deep/bundled_skills/code-review" ~/.claude/skills/vstorm-co-pydantic-deepagents-code-review-655244 && rm -rf "$T"
manifest:
pydantic_deep/bundled_skills/code-review/SKILL.mdsource content
Code Review
Perform a systematic code review covering these categories:
Review Checklist
1. Correctness
- Logic errors, off-by-one, null/None handling
- Edge cases: empty inputs, large inputs, concurrent access
- Error handling: are exceptions caught and handled properly?
2. Security
- Input validation and sanitization
- SQL injection, XSS, command injection
- Secrets in code, hardcoded credentials
- Authentication and authorization checks
3. Performance
- Unnecessary loops, N+1 queries
- Missing indexes for database queries
- Large memory allocations, unbounded collections
- Blocking calls in async code
4. Style & Maintainability
- Naming clarity (variables, functions, classes)
- Function length — split if >30 lines
- Dead code, commented-out code
- Missing type annotations
5. Testing
- Are new code paths covered by tests?
- Are edge cases tested?
- Are error paths tested?
Output Format
For each issue found:
- File:line — category — description — suggested fix
- Severity: critical / warning / suggestion